About this Course

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Shareable Certificate
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100% online
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Advanced Level
Approx. 21 hours to complete
English

What you will learn

  • Compare static vs. dynamic training and inference

  • Manage model dependencies

  • Set up distributed training for fault tolerance, replication, and more

  • Export models for portability

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level
Approx. 21 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

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Week
1

Week 1

28 minutes to complete

Introduction to Advanced Machine Learning on Google Cloud

28 minutes to complete
3 videos (Total 8 min), 2 readings
3 hours to complete

Architecting Production ML Systems

3 hours to complete
9 videos (Total 35 min), 1 reading, 2 quizzes
Week
2

Week 2

7 hours to complete

Designing Adaptable ML Systems

7 hours to complete
16 videos (Total 54 min), 1 reading, 4 quizzes
7 hours to complete

Designing High-Performance ML Systems

7 hours to complete
15 videos (Total 43 min), 1 reading, 4 quizzes
Week
3

Week 3

3 hours to complete

Building Hybrid ML Systems

3 hours to complete
8 videos (Total 22 min), 1 reading, 2 quizzes
21 minutes to complete

Summary

21 minutes to complete
1 video (Total 1 min), 2 readings

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